Joseph Shtok

According to our database, Joseph Shtok authored at least 18 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning.

Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle

CoRR, 2024

2021

CHARTER: heatmap-based multi-type chart data extraction.

Joseph Shtok, Sivan Harary, Ophir Azulai, Adi Raz Goldfarb, Assaf Arbelle, Leonid Karlinsky

CoRR, 2021

Detector-Free Weakly Supervised Grounding by Separation.

Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

StarNet: towards Weakly Supervised Few-Shot Object Detection.

Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification.

Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes

CoRR, 2020

2019

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.

Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning.

Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

RepMet: Representative-based metric learning for classification and one-shot object detection.

Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein

CoRR, 2018

Delta-encoder: an effective sample synthesis method for few-shot object recognition.

Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training.

Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Hybrid Remote Expert - an Emerging Pattern of Industrial Remote Support.

Ethan Hadar, Joseph Shtok, Benjamin Cohen, Yochay Tzur, Leonid Karlinsky

Proceedings of the Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, 2017

2015

Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks.

David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky

IEEE Trans. Medical Imaging, 2015

2013

Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography.

Joseph Shtok, Michael Elad, Michael Zibulevsky

Int. J. Biomed. Imaging, 2013

Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks.

Joseph Shtok, Michael Zibulevsky, Michael Elad

CoRR, 2013

2011

Sparsity-based Sinogram Denoising for low-dose Computed Tomography.

Joseph Shtok, Michael Elad, Michael Zibulevsky

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning

Joseph Shtok, Michael Zibulevsky, Michael Elad

CoRR, 2010

Analysis of Basis Pursuit Via Capacity Sets

Joseph Shtok, Michael Elad

CoRR, 2010

2009

Direct Adaptive Algorithms for CT Reconstruction.

Joseph Shtok, Michael Elad, Michael Zibulevsky

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009